By Juan Ramon Rabunal Dopico, Juan Ramon Rabunal Dopico, Julian Dorado De La Calle, Alejandro Pazos Sierra
A number of real-life difficulties so advanced as to be almost insoluble by way of conventional computing device technological know-how strategies can now be approached successfully with synthetic intelligence concepts. lately, synthetic intelligence applied sciences have developed at a speedy velocity, elevating major demanding situations to the hassle to stick present.
PThe Encyclopedia of man-made Intelligence is a entire and in-depth connection with the latest advancements within the box protecting theoretical advancements, options, applied sciences, and functions of platforms utilizing clever features for adaptability, automation studying, type, prediction, or even inventive production, between others. Authored via the area s prime specialists from greater than 30 nations, this commanding reference of over two hundred articles is vital to any study library s expertise holdings.
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Extra info for Encyclopedia of Artifical Intelligence
Lemmem, C. (2003). Active Learning in the Drug Discovery Process. Journal of Chemical Information Sciences, 43(2), 667-673. , & Tresp, V. (2003). A Hybrid Relevance-feedback Approach to Text Retrieval. Paper presented at the Proceedings of the 25th European Conference on Information Retrieval Research, Lecture Notes in Computer Science. , & Dong, A. (2005). Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10), 1536-1551.
How to Start the Active Learning AL can be regarded as the problem of searching target function in the version space, so a good initial classifier is important. , some parts of the objective category may not be correctly covered by the final classifier. Two-stage (Cord, Gosselin, & Philipp-Foliguet, 2007), long-term learning (Yin, Bhanu, Chang, & Dong, 2005), and pre-cluster (Engelbrecht & BRITS, 2002) strategies are promising. , & Luz, K. (2004). Online Choice of Active Learning Algorithms. Journal of Machine Learning Research, 5, 255-291.
Díaz Pernas, University of Valladolid, Spain; D. González Ortega, University of Valladolid, Spain; J. F. Díez Higuera, University of Valladolid, Spain; and M. 1504 Supervised Learning of Fuzzy Logic Systems / M. C. T. W. 1568 2D Positioning Application in PET Using ANNs, A / Fernando Mateo, Universidad Politécnica de Valencia, Spain; Ramón J. Aliaga, Universidad Politécnica de Valencia, Spain; Jorge D. 1576 2D-PAGE Analysis Using Evolutionary Computation / Pablo Mesejo, University of A Coruña, Spain; Enrique Fernández-Blanco, University of A Coruña, Spain; Diego Martínez-Feijóo, University of A Coruña, Spain; and Francisco J.